SkelDPO improves code generation efficiency by 2-7% over prior DPO methods via joint preference losses on full code and efficiency-critical skeletons.
ACECode: A reinforcement learning framework for aligning code efficiency and correctness in code language models,
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Audit of GSO, SWE-Perf and SWE-fficiency reveals that reference patches satisfy validity rules across machines for only 39/102, 11/140 and 411/498 tasks respectively, public submissions beat references on 85.3% of replay-valid tasks, and scoring rules cause ranking disagreements.
EffiSkel improves LLM-generated code efficiency by supervising on extracted structural efficiency skeletons via multi-task learning of code generation and skeleton prediction.
citing papers explorer
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SkelDPO: A Skeleton-Guided Direct Preference Optimization Framework for Efficient Code Generation
SkelDPO improves code generation efficiency by 2-7% over prior DPO methods via joint preference losses on full code and efficiency-critical skeletons.
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Are Performance-Optimization Benchmarks Reliably Measuring Coding Agents?
Audit of GSO, SWE-Perf and SWE-fficiency reveals that reference patches satisfy validity rules across machines for only 39/102, 11/140 and 411/498 tasks respectively, public submissions beat references on 85.3% of replay-valid tasks, and scoring rules cause ranking disagreements.
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Chiseling Out Efficiency: Structured Skeleton Supervision for Efficient Code Generation
EffiSkel improves LLM-generated code efficiency by supervising on extracted structural efficiency skeletons via multi-task learning of code generation and skeleton prediction.